I'm Ariel Almeida.

TL;DR: research is fun; federated learning, edge computing and privacy in our algorithms sounds like interesting and important topics; so this is the next step in my long term personal development plan.

This is where I delved deeper into the world of programming. I engaged in a variety of Machine Learning projects and publications, covering diverse topics such as classification, object detection, recognition, and beyond. Additionally, during my free time, I dedicated myself to studying and enrolling in various courses across multiple domains.

This was where I started my programming journey. I learned a little bit of C and Portugol in the first and second semester, then a little bit of MATLAB, robotics, and microcontrollers. I also learned about electronics, power systems, and more. At some point in the middle of the course, I started learning Python and doing little projects with it: from web scraping to desktop applications, and even Machine Learning. During my final two semesters I worked on my Bachelor's Degree Final Project: I developed a Machine Learning project using a custom dataset of panoramic dental radiographies. I worked on this project from data collection to training and testing a Convolutional Neural Network for classification, from zero. That's when I realized my true passion for software development.

Just a simple high school. I played a lot of guitar and even pondered becoming a guitarrist at some point haha. Back then the only thing I was sure was that I liked maths and that I wanted to study something I found challenging.

Back-end microservices development in Python with Flask and FastAPI. Front-end development with Jinja2 and Vue.

Projects and publications in Machine Learning, spanning classification, object detection, recognition, and more. Teaching assistant in Data Structures and Algorithms.